Python机器学习项目
为了完成本教程,我们将使用 Jupyter Notebooks,这是一种运行机器学习实验的实用且交互式方式。通过 Jupyter Notebooks,你可以运行简短的代码块并快速查看结果,从而轻松测试和调试代码。
为了快速上手,你可以打开网页浏览器并访问 Try Jupyter 网站:jupyter.org/try。在那里,点击 “Try Jupyter with Python”,你将被带到一个交互式 Jupyter Notebook,在那里你可以开始编写 Python 代码。
如果你想了解更多关于 Jupyter Notebooks 以及如何设置自己的 Python 编程环境以配合 Jupyter 使用,你可以阅读我们的教程:《如何为 Python 3 设置 Jupyter Notebook》。
Prerequisites
To complete this tutorial, we’ll use Jupyter Notebooks, which are a useful
and interactive way to run machine learning experiments. With Jupyter
Notebooks, you can run short blocks of code and see the results quickly,
making it easy to test and debug your code.
To get up and running quickly, you can open up a web browser and
navigate to the Try Jupyter website: jupyter.org/try. From there, click on
Try Jupyter with Python, and you will be taken to an interactive Jupyter
Notebook where you can start to write Python code.
If you would like to learn more about Jupyter Notebooks and how to
set up your own Python programming environment to use with Jupyter,
y o u can read our tutorial on How To Set Up Jupyter Notebook for
Python 3.